Removal of High Density Salt and Pepper Noise Through Super Mean Filter for Natural Images

A super-mean filter (SUMF) is proposed to remove high density salt pepper noise from digital images. The proposed filter works in two stages, in the first stage the noisy pixels are detected and in the second stage each noisy pixel is replaced by the mean value of noise free pixel of 22 matrix. Extensive simulation and experimental results shows that the proposed filter works well consistently for suppressing the salt pepper noise. The performance of proposed filter is compared with the other existing filters, standard median filter(SMF), centre weighted median filter (CWMF), progressive switching median filter (PSMF), open-close sequence filter (OCSF), decision based algorithm (DBA), modified decision based unsymmetric trimmed median filter (MDBUTMF). The proposed filter shows better performance as compared to above mentioned filters for noise removal from different gray scale images.